motorola motorola edge 60 vs motorola motorola edge 60

	motorola motorola edge 60	motorola motorola edge 60	Difference
Single Precision	487	487	100.0%
motorola motorola edge 60
motorola motorola edge 60
Half Precision	695	695	100.0%
motorola motorola edge 60
motorola motorola edge 60
Quantized	573	573	100.0%
motorola motorola edge 60
motorola motorola edge 60
	Geekbench AI 1.5.0	Geekbench AI 1.5.0

System Information

	motorola motorola edge 60	motorola motorola edge 60
AI Framework	TensorFlow Lite	TensorFlow Lite
AI Backend	GPU	GPU
AI Device	ARM ARMv8	ARM ARMv8
Operating System	Android 15	Android 15
Model	motorola motorola edge 60	motorola motorola edge 60
Processor	ARM ARMv8 @ 2.00 GHz 1 Processor, 8 Cores	ARM ARMv8 @ 2.00 GHz 1 Processor, 8 Cores
Processor ID	ARM implementer 65 architecture 8 variant 1 part 3393 revision 0	ARM implementer 65 architecture 8 variant 1 part 3393 revision 0
Motherboard	scout	scout
Memory	11.16 GB	11.16 GB

AI Performance

	motorola motorola edge 60	motorola motorola edge 60	Difference
Image Classification (SP)	275	275	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Classification (HP)	374	374	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Classification (Q)	286	286	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Segmentation (SP)	529	529	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Segmentation (HP)	916	916	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Segmentation (Q)	865	865	100.0%
motorola motorola edge 60
motorola motorola edge 60
Pose Estimation (SP)	2146	2146	100.0%
motorola motorola edge 60
motorola motorola edge 60
Pose Estimation (HP)	3812	3812	100.0%
motorola motorola edge 60
motorola motorola edge 60
Pose Estimation (Q)	3736	3736	100.0%
motorola motorola edge 60
motorola motorola edge 60
Object Detection (SP)	216	216	100.0%
motorola motorola edge 60
motorola motorola edge 60
Object Detection (HP)	343	343	100.0%
motorola motorola edge 60
motorola motorola edge 60
Object Detection (Q)	348	348	100.0%
motorola motorola edge 60
motorola motorola edge 60
Face Detection (SP)	1034	1034	100.0%
motorola motorola edge 60
motorola motorola edge 60
Face Detection (HP)	1592	1592	100.0%
motorola motorola edge 60
motorola motorola edge 60
Face Detection (Q)	1362	1362	100.0%
motorola motorola edge 60
motorola motorola edge 60
Depth Estimation (SP)	1297	1297	100.0%
motorola motorola edge 60
motorola motorola edge 60
Depth Estimation (HP)	2106	2106	100.0%
motorola motorola edge 60
motorola motorola edge 60
Depth Estimation (Q)	1625	1625	100.0%
motorola motorola edge 60
motorola motorola edge 60
Style Transfer (SP)	3477	3477	100.0%
motorola motorola edge 60
motorola motorola edge 60
Style Transfer (HP)	6393	6393	100.0%
motorola motorola edge 60
motorola motorola edge 60
Style Transfer (Q)	6449	6449	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Super-Resolution (SP)	652	652	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Super-Resolution (HP)	971	971	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Super-Resolution (Q)	962	962	100.0%
motorola motorola edge 60
motorola motorola edge 60
Text Classification (SP)	11	11	100.0%
motorola motorola edge 60
motorola motorola edge 60
Text Classification (HP)	7	7	100.0%
motorola motorola edge 60
motorola motorola edge 60
Text Classification (Q)	9	9	100.0%
motorola motorola edge 60
motorola motorola edge 60
Machine Translation (SP)	338	338	100.0%
motorola motorola edge 60
motorola motorola edge 60
Machine Translation (HP)	404	404	100.0%
motorola motorola edge 60
motorola motorola edge 60
Machine Translation (Q)	97	97	100.0%
motorola motorola edge 60
motorola motorola edge 60

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